基于复合控制器的并网光伏逆变器控制系统

文章在分析PI控制器和准PR控制器特性的基础上,提出了一种准PR+PI的复合控制器,设计了一种新型两级式并网光伏逆变器控制系统。在该控制系统中,电流内环采用准PR控制器实现正弦参考量无静差跟踪,电压外环采用复合控制器实现直流量无静差跟踪,该控制系统在Simulink下仿真结果表明:新型双环控制系统可以使系统高功率因数运行,实现了对基波正弦量的无静差跟踪,有效抑制母线电压二倍频分量对并网电流的影响,提高并网电流质量。     

基于准PR控制的隔离型准Z源单相光伏并网逆变器研究

针对传统PI控制在隔离型准Z源逆变器中存在稳态误差,抗电网干扰能力差以及不能及时快速跟踪输入变化的问题,提出准PR控制的方法,可提高输出电压和电流的质量,并达到及时跟踪输入变化的目的。其中,准PR控制器在基波频率处的增益趋近于无穷大,可实现对某一固定频率正弦指令的信号的无静差跟踪控制。详细介绍准PR控制器的设计,并在Saber环境中搭建系统仿真模型,对所设计的控制器进行验证。结果表明,基于准PR控制的隔离型准Z源单相光伏并网逆变器不但能有效实现并网逆变器的控制,而且可使系统保持稳定。     

光伏并网逆变器的高增益数字PI控制器设计

首先分别在连续域和离散域下对单相光伏并网逆变器进行建模分析,通过对比分析积分控制和谐振控制的频率响应特性,结果表明当系统采样频率较高时,积分控制具有较高的工频幅值增益,离散域下的PI控制可代替PR控制实现对交流信号的跟踪控制。然后基于频率响应法,完成单相光伏并网逆变器的数字PI控制器设计,最后通过实验验证该文理论分析的正确性以及所设计的数字PI控制器的有效性。     

基于PR控制和谐波补偿的三相光伏并网系统

将电网电压定向矢量控制与比例谐振(PR)控制相结合的控制策略应用于三相光伏并网系统中,实现逆变器的并网控制。该控制策略比传统PI调节器的双闭环电网电压定向控制更简便,不需要复杂的坐标旋转变换和前馈解耦控制。同时,PR控制器可以很方便地实现并网电流低次谐波的补偿。仿真结果验证了该系统的结构和控制策略的有效性,可提高电网的电能质量。     

双馈风力发电系统空载并网模糊PI控制

基于定子磁链定向矢量控制原理,分析双馈风力发电系统并网运行机理,提出了系统空载并网模糊PI控制策略.在此基础上,该文对双馈风力发电系统空载并网过程进行了研究,并与模糊控制及PI控制进行比较.研究结果表明,并网模糊PI控制策略的动态响应快,稳态精度高,对电网电压波动和电机参数变化具有较强的鲁棒性,且并网过渡过程短暂,并网前后运行平稳.模糊PI控制方式既具有模糊控制器动态响应快、鲁棒性强的特点,又兼有PI控制器稳态精度高的优点,是一种优良的并网控制策略.     

基于DRNN自整定准PR控制的光伏并网系统研究

以配置LCL滤波器的单相光伏并网逆变系统为研究对象,针对其非线性、时变特性,提出一种基于准比例谐振(quasi proportional resonant,QPR)控制的直流电压外环、并网电流内环和电容电流内环三闭环控制策略,并给出准PR控制器的离散化方法。针对准PR控制器参数固定无法适应电网参数变化,难以达到系统控制性能最优的不足,提出一种基于动态对角递归神经网络(diagonal recurrent neual network,DRNN)自整定准PR控制器并给出其控制算法,DRNN采用基于二阶梯度的递推预报误差算法(recursive prediction error,RPE),其较一阶梯度反向传播算法(propagation,BP)具有更快收敛速度。仿真对比分析和实验结果表明,采用上述控制策略的单相光伏并网逆变系统具有良好的输出电流质量和快速的动态响应性能,可有效避免并网电流谐振并实现并网电流高功率因数。     

基于BP神经网络的小型风力发电正弦波逆变器

为了提高小型风力发电系统的可靠性和能量转换效率,文章设计了一种带有高频环节的单相正弦逆变器,该逆变器提出采用双BP神经网络控制。在Matlab下建立了逆变器仿真模型,仿真结果表明,设计的BP神经网络控制器可以使单相正弦逆变器具有较高的稳态精度和动态特性,满足小型风力发电系统的需要。     

带LCL滤波器的单相并网逆变器

针对相同滤波效果下采用L型滤波器的单相光伏并网逆变器的PI控制需要较大的电感值以及存在高损耗、电流内环响应速度降低和成本较高的不足,提出了采用基于LCL滤波的电容电流反馈和电网电压前馈的准PR控制策略,以增加系统阻尼、抑制振荡、提高系统稳定性能,并通过Matalab/Simulink软件搭建仿真模型进行了验证。结果表明,经LCL滤波后,在准PR控制策略下,加入电容电流反馈和电网电压前馈后,获得的入网电流畸变率更小,实现了入网电流的无静差跟踪,抑制了电网电压的扰动,且系统输出的波形满足入网要求。     

基于改进的PR调节的单相LCL双闭环电流控制并网逆变器的研究

LCL滤波器具有滤波特性能好、体积小的优势,被越来越广泛地应用于单相并网逆变器中,但由于其电容支路极易产生谐振,对控制电路设计不利。目前可采用多种控制策略来解决上述问题。其中,单环并网电流控制策略是严重欠阻尼系统,谐振尖峰的存在会引起电流波形畸变,PI调节器并不能使闭环系统稳定,PR调节器通过增加特定频率的电流回路增益来抑制谐波误差,但频率漂移影响和控制系统的带宽。本文采用双环电流控制策略,提出一种频率跟随的PR控制器。试验结果表明,该策略能有效解决逆变器在电网频率波动情况下进网电流谐振和进网电流的功率因数问题。     

单相逆变器二倍频功率解耦控制策略

针对传统实现单相光伏逆变器输入侧与输出侧的功率解耦方法中所包含的电解电容体积大、寿命短等问题,提出一种应用于双向Buck/Boost有源功率解耦电路的双环准比例谐振控制(PR)策略,并针对电路拓扑设计了参数和控制策略,该控制策略中电压外环采用PI调节保证响应速度,电流内环采用并联多重准PR控制,实现对正弦电流信号的无静差跟踪。搭建Simulink仿真模型验证了所提双环准比例谐振控制策略,有效降低了直流侧母线电压纹波,实现逆变器输入侧与输出侧的功率解耦,且实现了用薄膜电容代替大容量电解电容,提高了系统的使用寿命和可靠性。     

基于分数阶LCL滤波器的风力发电网侧控制研究

为提高并网电能质量,提出采用分数阶PI（PI^λ）控制器来实现网侧控制、采用分数阶LCL（FOLCL）滤波器进行滤波的方案。首先通过理论推导得出FOLCL滤波器能从根本上避免谐振的特性,然后建立网侧逆变系统分数阶数学模型,并推导分数阶双闭环控制结构,最后在网侧引入PI^λ控制器并对其参数进行设计。仿真实验结果表明：FOLCL滤波器可从根本上避免谐振;所设计的FOLCL滤波器效果明显优于传统的整数阶LCL（IOLCL）滤波器;所建全分数阶逆变并网系统各项指标均明显优于传统方案。     

Modeling and simulation of three phase multilevel inverter for grid connected photovoltaic systems

This paper presents a control for a three phase five-level neutral clamped inverter (NPC) for grid connected PV system. The maximum power point tracking (MPPT) is capable of extracting maximum power from the PV array connected to each DC link voltage level. The MPPT algorithm is solved by fuzzy logic controller. The fuzzy MPPT is integrated with the inverter so that a DC–DC converter is not needed and the output shows accurate and fast response. A digital PI current control algorithm is used to remain the current injected into the grid sinusoidal and to achieve high dynamic performance with low total harmonic distortion (THD). The validity of the system is verified through MATLAB/Simulink and the results are compared with three phase three-level grid connected NPC inverter in terms of THD.     

基于叶素理论的风力机组建模与仿真

基于叶素理论建立了风力发电机组空载状况下的数学物理模型,以攻角为控制对象设计控制器,在此基础上,以Matlab/Simulink为工具,建立了系统仿真模型,采用"试凑法"选择PI控制器的参数,通过设定风速分析了风力发电机组的运行特性,仿真结果验证了理论分析的正确性。该研究对控制器的设计具有参考价值。     

Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

This paper proposes a method of maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic systems. The system is composed of a boost converter and a single-phase inverter connected to a utility grid. The maximum power point tracking control is based on adaptive fuzzy logic to control a switch of a boost converter. Adaptive fuzzy logic controllers provide attractive features such as fast response, good performance. In addition, adaptive fuzzy logic controllers can also change the fuzzy parameter for improving the control system. The single phase inverter uses predictive current control which provides current with sinusoidal waveform. Therefore, the system is able to deliver energy with low harmonics and high power factor. Both conventional fuzzy logic controller and adaptive fuzzy logic controller are simulated and implemented to evaluate performance. Simulation and experimental results are provided for both controllers under the same atmospheric condition. From the simulation and experimental results, the adaptive fuzzy logic controller can deliver more power than the conventional fuzzy logic controller.     

Modelling of a 5-kW wind energy conversion system with induction generator and comparison with experimental results

A 5-kW wind energy conversion system (WECS) having induction generator is designed and implemented. The induction machine is connected to the power system through PWM inverter and PWM rectifier. Two digital PI controllers are used, one of them is for regulating dc link voltage and the other is for speed control of induction machine. The whole system is governed by a single fixed point digital signal processing unit (DSP). A detailed simulation program is prepared by using Matlab facilities in order to predict the performance of the controllers before implementation.     

参与电网调频的风电机组线性变参数变桨控制策略

风电机组参与调频时其输出功率的调整将改变风电机组变桨动作的风速范围,同时由于桨距角调节气动功率的灵敏度随风况变化,使得传统PI变桨控制难以适用于风电机组参与调频时的复杂工况,出现风电机组转速振荡问题。提出一种基于线性变参数(Linear Parameter Varying, LPV)系统的风电机组变桨控制方法,对风电机组模型进行线性化,根据风速和桨距角的变化范围进行凸分解,得到其具有四面体结构的LPV模型,通过求解不同平衡点处的线性矩阵不等式(Linear Matrix Inequality, LMI)设计出相应的变桨控制器。仿真结果表明:与传统PI变桨控制相比,LPV变桨控制能有效减小转速的波动,降低低速轴载荷以及减小桨距角的波动程度,验证了该控制策略的有效性和先进性。     

A new control strategy for a stand-alone self-excited induction generator driven by a variable speed wind turbine

This paper presents a new control strategy of a stand-alone self-excited induction generator (SEIG) driven by a variable speed wind turbine. The proposed system consists of a three phase squirrel-cage induction machine connected to a wind turbine through a step-up gear box. A current controlled voltage source inverter (CC–VSI) with an electronic load controller (ELC) is connected in parallel with the main consumer load to the AC terminals of the induction machine. The proposed control strategy is based on fuzzy logic control principles which enhance the dynamic performance of the proposed system. Three fuzzy logic PI controllers and one hysteresis current controller (HCC) are used to extract the maximum available energy from the wind turbine as well as to regulate the generator terminal voltage simultaneously against wind speed and main load variations. However, in order to extract the maximum available energy from the turbine over a wide range of wind speeds, the captured energy is limited due to electrical constraints. Therefore the control strategy proposed three modes of control operation. The steady state characteristics of the proposed system are obtained and examined in order to design the required control parameters. The proposed system is modeled and simulated using Matlab/Simulink software program to examine the dynamic characteristics of the system with proposed control strategy. Dynamic simulation results demonstrate the effectiveness of the proposed control strategy.     

Evaluation of neural network based real time maximum power trackingcontroller for PV system

This paper presents a neural network based maximum power tracking controller for interconnected PV power systems. The neural network is utilized to identify the optimal operating voltage of the PV power system. The controller generates the control signal in real-time, and the control signal is fed back to the voltage control loop of the inverter to shift the terminal voltage of the PV power system to its identified optimum, which yields maximum power generation. The controller is of the PI type. The proportional and the integral gains are set to their optimal values to achieve fast response and also to prevent overshoot and also undershoot. Continuous measurement is required for the open circuit voltage on the monitoring cell, and also for the terminal voltage of the PV power system. Because of the accurate identification of the optimal operating voltage of the PV power system, more than 99% power is drawn from the actual maximum power     

1kW离网逆变器的设计及应用

设计了一种1 kW单相高频离网型逆变器,扩展了工频电力电子设备的应用场合。核心控制器为飞思卡尔的MC56F8023。直流输入电压通过推挽电路进行升压,再经全桥逆变电路和滤波电路可输出可靠的单相工频正弦波交流电压。实验证明,所制作的逆变器具有较好的性能。     

SMC-DPC based active and reactive power control of grid-tied three phase inverter for PV systems

In this paper, sliding mode control (SMC) – direct power controller (DPC) based active and reactive power controller for three-phase grid-tied photovoltaic (PV) system is proposed. The proposed system consists of two main controllers: the DC/DC boost converter to track the possible maximum power from the PV panels and the grid-tied three-phase inverter. The Perturb and Observe (P&O) algorithm is used to transfer the maximum power from the PV panels. Control of the active and reactive powers is performed using the SMC-DPC strategy without any rotating coordinate transformations or phase angle tracking of the grid voltage. In addition, extra current control cycles are not used to simplify the system design and to increase transient performance. The fixed switching frequency is obtained by using space vector modulation (SVM). The proposed system provides very good results both in transient and steady states with the simple algorithms of P&O and SMC-DPC methods. Moreover, the results are evaluated by comparing the SMC-DPC method developed for MPPT and the traditional PI control method. The proposed controller method is achieved with TMS320F28335 DSP processor and the system is experimentally tested for 12 kW PV generation systems.